Search ga_ls5t_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

69 results

Time (local)	Label
1987-11-05 09:41:46	ga_ls5t_ard_3-0-0_099079_1987-11-05_final
1988-01-24 09:40:21	ga_ls5t_ard_3-0-0_099072_1988-01-24_final
1988-03-12 09:43:25	ga_ls5t_ard_3-0-0_099078_1988-03-12_final
1988-06-08 08:59:00	ga_ls5t_ard_3-0-0_091089_1988-06-07_final
1988-12-25 09:43:50	ga_ls5t_ard_3-0-0_099078_1988-12-25_final
1989-08-23 08:47:39	ga_ls5t_ard_3-0-0_090086_1989-08-22_final
1990-02-14 09:30:40	ga_ls5t_ard_3-0-0_099067_1990-02-14_final
1990-03-16 09:46:00	ga_ls5t_ard_3-0-0_101077_1990-03-16_final
1990-05-22 08:42:07	ga_ls5t_ard_3-0-0_090088_1990-05-21_final
1991-03-21 11:12:44	ga_ls5t_ard_3-0-0_115075_1991-03-21_final
1991-08-22 10:16:10	ga_ls5t_ard_3-1-0_105083_1991-08-22_final
1992-07-06 09:30:51	ga_ls5t_ard_3-0-0_098079_1992-07-06_final
1992-07-29 09:36:21	ga_ls5t_ard_3-0-0_099078_1992-07-29_final
1992-08-24 10:12:37	ga_ls5t_ard_3-0-0_105077_1992-08-24_final
1992-10-30 08:59:34	ga_ls5t_ard_3-0-0_094067_1992-10-29_final
1993-01-05 09:34:38	ga_ls5t_ard_3-0-0_099077_1993-01-05_final
1993-01-22 08:39:13	ga_ls5t_ard_3-0-0_090077_1993-01-21_final
1993-03-10 09:37:16	ga_ls5t_ard_3-0-0_099082_1993-03-10_final
1993-05-05 09:30:11	ga_ls5t_ard_3-1-0_098079_1993-05-05_final
1993-08-08 09:42:05	ga_ls5t_ard_3-0-0_100078_1993-08-08_final
1993-09-08 10:36:05	ga_ls5t_ard_3-0-0_109074_1993-09-08_final
1994-01-03 10:53:51	ga_ls5t_ard_3-0-0_112074_1994-01-03_final
1994-06-17 09:32:00	ga_ls5t_ard_3-0-0_099077_1994-06-17_final
1994-10-15 10:17:02	ga_ls5t_ard_3-0-0_107074_1994-10-15_final
1995-01-10 10:20:19	ga_ls5t_ard_3-0-0_108074_1995-01-10_final
1995-02-13 08:30:32	ga_ls5t_ard_3-0-0_090081_1995-02-12_final
1995-10-14 08:47:15	ga_ls5t_ard_3-0-0_095073_1995-10-13_final
1995-12-08 08:52:41	ga_ls5t_ard_3-0-0_096071_1995-12-07_final
1995-12-13 10:53:17	ga_ls5t_ard_3-1-0_115078_1995-12-13_final
1996-01-14 09:17:07	ga_ls5t_ard_3-0-0_099079_1996-01-13_final
1996-12-05 10:35:28	ga_ls5t_ard_3-0-0_109074_1996-12-05_final
1997-09-03 10:45:47	ga_ls5t_ard_3-0-0_109074_1997-09-03_final
1998-05-01 09:14:25	ga_ls5t_ard_3-0-0_093080_1998-04-30_final
1998-06-20 10:42:04	ga_ls5t_ard_3-0-0_107081_1998-06-20_final
1998-09-25 09:48:57	ga_ls5t_ard_3-0-0_098085_1998-09-25_final
1999-07-14 09:15:57	ga_ls5t_ard_3-0-0_094067_1999-07-13_final
1999-09-19 11:27:50	ga_ls5t_ard_3-0-0_115075_1999-09-19_final
1999-11-13 09:55:30	ga_ls5t_ard_3-0-0_100078_1999-11-13_final
2003-07-20 09:04:58	ga_ls5t_ard_3-0-0_091089_2003-07-19_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2003-10-22 09:10:02	ga_ls5t_ard_3-1-0_093067_2003-10-21_final
2003-10-26 10:30:38	ga_ls5t_ard_3-1-0_105083_2003-10-26_final
2003-11-18 10:33:55	ga_ls5t_ard_3-0-0_106075_2003-11-18_final
2004-05-11 09:54:20	ga_ls5t_ard_3-0-0_099079_2004-05-11_final
2004-06-17 10:14:44	ga_ls5t_ard_3-0-0_102081_2004-06-17_final
2004-07-02 11:07:38	ga_ls5t_ard_3-0-0_111073_2004-07-02_final
2004-07-06 09:04:56	ga_ls5t_ard_3-1-0_091075_2004-07-05_final
2004-07-06 09:10:56	ga_ls5t_ard_3-0-0_091090_2004-07-05_final
2004-07-11 09:20:26	ga_ls5t_ard_3-0-0_094067_2004-07-10_final
2004-11-28 09:52:40	ga_ls5t_ard_3-0-0_098078_2004-11-28_final
2005-04-29 10:39:58	ga_ls5t_ard_3-0-0_106068_2005-04-29_final
2006-01-30 10:23:25	ga_ls5t_ard_3-0-0_102081_2006-01-30_final
2006-05-22 10:25:27	ga_ls5t_ard_3-0-0_102081_2006-05-22_final
2006-07-20 10:06:12	ga_ls5t_ard_3-0-0_099077_2006-07-20_final
2007-03-22 10:28:10	ga_ls5t_ard_3-0-0_102081_2007-03-22_final
2007-09-19 10:42:52	ga_ls5t_ard_3-0-0_105076_2007-09-19_final
2008-01-27 10:27:33	ga_ls5t_ard_3-0-0_103074_2008-01-27_final
2008-02-08 09:17:35	ga_ls5t_ard_3-0-0_091085_2008-02-07_final
2008-07-25 09:57:17	ga_ls5t_ard_3-0-0_099071_2008-07-25_final
2008-08-18 10:47:37	ga_ls5t_ard_3-0-0_107075_2008-08-18_final
2008-12-16 09:57:22	ga_ls5t_ard_3-0-0_099077_2008-12-16_final
2008-12-26 08:56:15	ga_ls5t_ard_3-0-0_089078_2008-12-25_final
2009-01-21 09:32:01	ga_ls5t_ard_3-0-0_095073_2009-01-21_final
2009-05-15 09:22:35	ga_ls5t_ard_3-0-0_093074_2009-05-14_final
2009-11-06 10:23:33	ga_ls5t_ard_3-0-0_102081_2009-11-06_final
2010-01-12 10:52:09	ga_ls5t_ard_3-0-0_107074_2010-01-12_final
2011-01-07 10:00:15	ga_ls5t_ard_3-1-0_099070_2011-01-07_final
2011-04-22 09:53:26	ga_ls5t_ard_3-0-0_098069_2011-04-22_final
2011-06-24 10:51:03	ga_ls5t_ard_3-0-0_107075_2011-06-24_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years